Publications

Enhancing Classification Performance of Convolutional Neural Networks for Prostate Cancer Detection on Magnetic Resonance Images: a Study with the Semantic Learning Machine

AuthID
P-00Q-VMK

Author(s)

Lapa, P

Gonçalves, I

Rundo, L

Castelli, M

Document Type

Proceedings Paper

Year published

2019

Published

in PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION)

Pages: 381-382 (2)

Conference

Genetic and Evolutionary Computation Conference (Gecco), Date: JUL 13-17, 2019, Location: Prague, CZECH REPUBLIC, Sponsors: Assoc Comp Machinery, Assoc Comp Machinery, Special Interest Grp Genet & Evolutionary Computat

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1145/3319619.3322035

SCOPUS: 2-s2.0-85066949538

Wos: WOS:000538328100190

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Enhancing Classification Performance of Convolutional Neural Networks for Prostate Cancer Detection on Magnetic Resonance Images: a Study with the Semantic Learning Machine

Useful Links

Get Help

Federated Authentication (Click on the image)

Enhancing Classification Performance of Convolutional Neural Networks for Prostate Cancer Detection on Magnetic Resonance Images: a Study with the Semantic Learning Machine

Useful Links

Get Help